simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of anyflights and hoopr — release velocity, themes, recent moves, and the top alternatives to consider.
A nycflights13 generator whose recent work is all about the data being right.
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems
hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
The function surface has been stable since 0.3; everything since concerns the fragility of the upstream sources. Broken URLs for airline data, download failures needing a session-timeout hint, planes data that stopped resolving, and weather values recorded only once an hour have each taken a release. Contributions come from teaching-adjacent users, which fits a package whose main use is generating course datasets.
Expect the next release to follow another upstream data-source change rather than to add a table or an argument.
hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.
The package's history is two distinct eras. Through 2021-2023 it grew by endpoint accretion — ESPN stat functions, G-League coverage, the NBA live and boxscore V3 families, on-court players in play-by-play — expanding what could be pulled. The recent work is consolidation instead: one HTTP pipeline, one messaging library, data served from the shared sportsdataverse-data releases rather than per-package repositories. The centre of gravity has moved from adding endpoints to making the plumbing survive its dependencies.
With the HTTP layer unified behind shared helpers, expect the sibling sportsdataverse packages to follow the same httr2 migration, and hoopR's own next releases to resume endpoint work now that requests run through one pipeline.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either anyflights or hoopr.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
From a bundled hospital dataset to a live CMS API client.
See all anyflights alternatives → · See all hoopr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. anyflights and hoopr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. anyflights and hoopr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top anyflights alternatives in Analytics are ranked by recent ship velocity. Browse the "anyflights alternatives" section above for the current picks, or visit /alternatives/anyflights for the full list with editorial commentary on each.
Top hoopr alternatives in Analytics are ranked by recent ship velocity. Browse the "hoopr alternatives" section above for the current picks, or visit /alternatives/hoopr for the full list with editorial commentary on each.